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Using Transport Diagnostics to Understand Chemistry Climate Model Ozone SimulationsWe demonstrate how observations of N2O and mean age in the tropical and midlatitude lower stratosphere (LS) can be used to identify realistic transport in models. The results are applied to 15 Chemistry Climate Models (CCMs) participating in the 2010 WMO assessment. Comparison of the observed and simulated N2O/mean age relationship identifies models with fast or slow circulations and reveals details of model ascent and tropical isolation. The use of this process-oriented N2O/mean age diagnostic identifies models with compensating transport deficiencies that produce fortuitous agreement with mean age. We compare the diagnosed model transport behavior with a model's ability to produce realistic LS O3 profiles in the tropics and midlatitudes. Models with the greatest tropical transport problems show the poorest agreement with observations. Models with the most realistic LS transport agree more closely with LS observations and each other. We incorporate the results of the chemistry evaluations in the SPARC CCMVal Report (2010) to explain the range of CCM predictions for the return-to-1980 dates for global (60 S-60 N) and Antarctic column ozone. Later (earlier) Antarctic return dates are generally correlated to higher (lower) vortex Cl(sub y) levels in the LS, and vortex Cl(sub y) is generally correlated with the model's circulation although model Cl(sub y) chemistry or Cl(sub y) conservation can have a significant effect. In both regions, models that have good LS transport produce a smaller range of predictions for the return-to-1980 ozone values. This study suggests that the current range of predicted return dates is unnecessarily large due to identifiable model transport deficiencies.
Document ID
20110007808
Acquisition Source
Goddard Space Flight Center
Document Type
Preprint (Draft being sent to journal)
Authors
Strahan, S. E.
(Maryland Univ. Baltimore County Baltimore, MD, United States)
Douglass, A. R.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Stolarski, R. S.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Akiyoshi, H.
(National Inst. of Environmental Studies Tsukuba, Japan)
Bekki, S.
(Centre National de la Recherche Scientifique Paris, France)
Braesicke, P.
(Cambridge Univ. Cambridge, United Kingdom)
Butchart, N.
(Met Office (Meteorological Office) Devon, United Kingdom)
Chipperfield, M. P.
(Leeds Univ. United Kingdom)
Cugnet, D.
(Centre National de la Recherche Scientifique Paris, France)
Dhomse, S.
(Leeds Univ. United Kingdom)
Frith, S. M.
(Science Systems and Applications, Inc. Lanham, MD, United States)
Gettleman, A.
(National Center for Atmospheric Research Boulder, CO, United States)
Hardiman, S. C.
(Met Office (Meteorological Office) Devon, United Kingdom)
Kinnison, D. E.
(National Center for Atmospheric Research Boulder, CO, United States)
Lamarque, J.-F.
(National Center for Atmospheric Research Boulder, CO, United States)
Mancini, E.
(Universita degli Studi della Aquila La Aquila, Italay)
Marchand, M.
(Centre National de la Recherche Scientifique Paris, France)
Michou, M.
(Centre National de la Recherche Scientifique Toulouse, France)
Morgenstern, O.
(National Inst. of Water and Atmospheric Research Lauder, New Zealand)
Nakamura, T.
(National Inst. of Environmental Studies Tsukuba, Japan)
Olivie, D.
(Oslo Univ. Norway)
Pawson, S.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Pitari, G.
(Universita degli Studi della Aquila La Aquila, Italay)
Plummer, D. A.
(Environment Canada Victoria, British Columbia, Canada)
Pyle, J. A.
(Cambridge Univ. Cambridge, United Kingdom)
Date Acquired
August 25, 2013
Publication Date
January 1, 2010
Subject Category
Environment Pollution
Distribution Limits
Public
Copyright
Public Use Permitted.
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